Pandas Profiling Report

Dataset statistics

Number of variables	90
Number of observations	38577
Missing cells	2199282
Missing cells (%)	63.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	27.8 MiB
Average record size in memory	755.4 B

Variable types

Numeric	10
Categorical	23
Boolean	2
Unsupported	55

Alerts

`pymnt_plan` has constant value "False"	Constant
`initial_list_status` has constant value "False"	Constant
`collections_12_mths_ex_med` has constant value "0.0"	Constant
`policy_code` has constant value "1"	Constant
`acc_now_delinq` has constant value "0"	Constant
`chargeoff_within_12_mths` has constant value "0.0"	Constant
`delinq_amnt` has constant value "0"	Constant
`tax_liens` has constant value "0.0"	Constant
`int_rate` has a high cardinality: 370 distinct values	High cardinality
`emp_title` has a high cardinality: 28027 distinct values	High cardinality
`issue_d` has a high cardinality: 55 distinct values	High cardinality
`url` has a high cardinality: 38577 distinct values	High cardinality
`desc` has a high cardinality: 25803 distinct values	High cardinality
`title` has a high cardinality: 19297 distinct values	High cardinality
`zip_code` has a high cardinality: 822 distinct values	High cardinality
`id` is highly overall correlated with `member_id` and 2 other fields	High correlation
`member_id` is highly overall correlated with `id` and 2 other fields	High correlation
`loan_amnt` is highly overall correlated with `funded_amnt` and 2 other fields	High correlation
`funded_amnt` is highly overall correlated with `loan_amnt` and 2 other fields	High correlation
`funded_amnt_inv` is highly overall correlated with `loan_amnt` and 2 other fields	High correlation
`installment` is highly overall correlated with `loan_amnt` and 2 other fields	High correlation
`mths_since_last_delinq` is highly overall correlated with `mths_since_last_record`	High correlation
`mths_since_last_record` is highly overall correlated with `id` and 3 other fields	High correlation
`grade` is highly overall correlated with `sub_grade`	High correlation
`sub_grade` is highly overall correlated with `grade`	High correlation
`issue_d` is highly overall correlated with `id` and 1 other fields	High correlation
`pub_rec_bankruptcies` is highly overall correlated with `mths_since_last_record`	High correlation
`pub_rec_bankruptcies` is highly imbalanced (83.7%)	Imbalance
`emp_title` has 2386 (6.2%) missing values	Missing
`emp_length` has 1033 (2.7%) missing values	Missing
`desc` has 12527 (32.5%) missing values	Missing
`mths_since_last_delinq` has 24905 (64.6%) missing values	Missing
`mths_since_last_record` has 35837 (92.9%) missing values	Missing
`next_pymnt_d` has 38577 (100.0%) missing values	Missing
`mths_since_last_major_derog` has 38577 (100.0%) missing values	Missing
`annual_inc_joint` has 38577 (100.0%) missing values	Missing
`dti_joint` has 38577 (100.0%) missing values	Missing
`verification_status_joint` has 38577 (100.0%) missing values	Missing
`tot_coll_amt` has 38577 (100.0%) missing values	Missing
`tot_cur_bal` has 38577 (100.0%) missing values	Missing
`open_acc_6m` has 38577 (100.0%) missing values	Missing
`open_il_6m` has 38577 (100.0%) missing values	Missing
`open_il_12m` has 38577 (100.0%) missing values	Missing
`open_il_24m` has 38577 (100.0%) missing values	Missing
`mths_since_rcnt_il` has 38577 (100.0%) missing values	Missing
`total_bal_il` has 38577 (100.0%) missing values	Missing
`il_util` has 38577 (100.0%) missing values	Missing
`open_rv_12m` has 38577 (100.0%) missing values	Missing
`open_rv_24m` has 38577 (100.0%) missing values	Missing
`max_bal_bc` has 38577 (100.0%) missing values	Missing
`all_util` has 38577 (100.0%) missing values	Missing
`total_rev_hi_lim` has 38577 (100.0%) missing values	Missing
`inq_fi` has 38577 (100.0%) missing values	Missing
`total_cu_tl` has 38577 (100.0%) missing values	Missing
`inq_last_12m` has 38577 (100.0%) missing values	Missing
`acc_open_past_24mths` has 38577 (100.0%) missing values	Missing
`avg_cur_bal` has 38577 (100.0%) missing values	Missing
`bc_open_to_buy` has 38577 (100.0%) missing values	Missing
`bc_util` has 38577 (100.0%) missing values	Missing
`mo_sin_old_il_acct` has 38577 (100.0%) missing values	Missing
`mo_sin_old_rev_tl_op` has 38577 (100.0%) missing values	Missing
`mo_sin_rcnt_rev_tl_op` has 38577 (100.0%) missing values	Missing
`mo_sin_rcnt_tl` has 38577 (100.0%) missing values	Missing
`mort_acc` has 38577 (100.0%) missing values	Missing
`mths_since_recent_bc` has 38577 (100.0%) missing values	Missing
`mths_since_recent_bc_dlq` has 38577 (100.0%) missing values	Missing
`mths_since_recent_inq` has 38577 (100.0%) missing values	Missing
`mths_since_recent_revol_delinq` has 38577 (100.0%) missing values	Missing
`num_accts_ever_120_pd` has 38577 (100.0%) missing values	Missing
`num_actv_bc_tl` has 38577 (100.0%) missing values	Missing
`num_actv_rev_tl` has 38577 (100.0%) missing values	Missing
`num_bc_sats` has 38577 (100.0%) missing values	Missing
`num_bc_tl` has 38577 (100.0%) missing values	Missing
`num_il_tl` has 38577 (100.0%) missing values	Missing
`num_op_rev_tl` has 38577 (100.0%) missing values	Missing
`num_rev_accts` has 38577 (100.0%) missing values	Missing
`num_rev_tl_bal_gt_0` has 38577 (100.0%) missing values	Missing
`num_sats` has 38577 (100.0%) missing values	Missing
`num_tl_120dpd_2m` has 38577 (100.0%) missing values	Missing
`num_tl_30dpd` has 38577 (100.0%) missing values	Missing
`num_tl_90g_dpd_24m` has 38577 (100.0%) missing values	Missing
`num_tl_op_past_12m` has 38577 (100.0%) missing values	Missing
`pct_tl_nvr_dlq` has 38577 (100.0%) missing values	Missing
`percent_bc_gt_75` has 38577 (100.0%) missing values	Missing
`pub_rec_bankruptcies` has 697 (1.8%) missing values	Missing
`tot_hi_cred_lim` has 38577 (100.0%) missing values	Missing
`total_bal_ex_mort` has 38577 (100.0%) missing values	Missing
`total_bc_limit` has 38577 (100.0%) missing values	Missing
`total_il_high_credit_limit` has 38577 (100.0%) missing values	Missing
`annual_inc` is highly skewed (γ1 = 31.19841374)	Skewed
`url` is uniformly distributed	Uniform
`id` has unique values	Unique
`member_id` has unique values	Unique
`url` has unique values	Unique
`next_pymnt_d` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mths_since_last_major_derog` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`annual_inc_joint` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`dti_joint` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`verification_status_joint` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`tot_coll_amt` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`tot_cur_bal` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`open_acc_6m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`open_il_6m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`open_il_12m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`open_il_24m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mths_since_rcnt_il` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`total_bal_il` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`il_util` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`open_rv_12m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`open_rv_24m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`max_bal_bc` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`all_util` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`total_rev_hi_lim` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`inq_fi` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`total_cu_tl` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`inq_last_12m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`acc_open_past_24mths` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`avg_cur_bal` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`bc_open_to_buy` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`bc_util` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mo_sin_old_il_acct` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mo_sin_old_rev_tl_op` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mo_sin_rcnt_rev_tl_op` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mo_sin_rcnt_tl` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mort_acc` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mths_since_recent_bc` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mths_since_recent_bc_dlq` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mths_since_recent_inq` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mths_since_recent_revol_delinq` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_accts_ever_120_pd` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_actv_bc_tl` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_actv_rev_tl` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_bc_sats` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_bc_tl` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_il_tl` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_op_rev_tl` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_rev_accts` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_rev_tl_bal_gt_0` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_sats` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_tl_120dpd_2m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_tl_30dpd` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_tl_90g_dpd_24m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_tl_op_past_12m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`pct_tl_nvr_dlq` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`percent_bc_gt_75` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`tot_hi_cred_lim` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`total_bal_ex_mort` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`total_bc_limit` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`total_il_high_credit_limit` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mths_since_last_delinq` has 443 (1.1%) zeros	Zeros
`mths_since_last_record` has 670 (1.7%) zeros	Zeros

Reproduction

Analysis started	2023-02-05 14:17:04.545371
Analysis finished	2023-02-05 14:17:23.469841
Duration	18.92 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

id
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	38577
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	676378.71

Minimum	54734
Maximum	1077501
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	602.8 KiB

Quantile statistics

Minimum	54734
5-th percentile	371001.4
Q1	512033
median	656423
Q3	829146
95-th percentile	1038337
Maximum	1077501
Range	1022767
Interquartile range (IQR)	317113

Descriptive statistics

Standard deviation	209263.9
Coefficient of variation (CV)	0.30938866
Kurtosis	-0.6868733
Mean	676378.71
Median Absolute Deviation (MAD)	156121
Skewness	0.11702212
Sum	2.6092661 × 10¹⁰
Variance	4.3791379 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1077501	1	< 0.1%
562133	1	< 0.1%
558545	1	< 0.1%
562256	1	< 0.1%
562224	1	< 0.1%
561407	1	< 0.1%
562178	1	< 0.1%
562173	1	< 0.1%
560051	1	< 0.1%
561718	1	< 0.1%
Other values (38567)	38567	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
54734	1	< 0.1%
55742	1	< 0.1%
57245	1	< 0.1%
57416	1	< 0.1%
58915	1	< 0.1%
59006	1	< 0.1%
61390	1	< 0.1%
61419	1	< 0.1%
62102	1	< 0.1%
65426	1	< 0.1%

Value	Count	Frequency (%)
1077501	1	< 0.1%
1077430	1	< 0.1%
1077175	1	< 0.1%
1076863	1	< 0.1%
1075269	1	< 0.1%
1072053	1	< 0.1%
1071795	1	< 0.1%
1071570	1	< 0.1%
1070078	1	< 0.1%
1069971	1	< 0.1%

member_id
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	38577
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	842284.34

Minimum	70699
Maximum	1314167
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	602.8 KiB

Quantile statistics

Minimum	70699
5-th percentile	385845.2
Q1	661131
median	839292
Q3	1037336
95-th percentile	1268022.2
Maximum	1314167
Range	1243468
Interquartile range (IQR)	376205

Descriptive statistics

Standard deviation	264451.93
Coefficient of variation (CV)	0.3139699
Kurtosis	-0.54673126
Mean	842284.34
Median Absolute Deviation (MAD)	189018
Skewness	-0.18067854
Sum	3.2492803 × 10¹⁰
Variance	6.9934823 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1296599	1	< 0.1%
723395	1	< 0.1%
719001	1	< 0.1%
723527	1	< 0.1%
723494	1	< 0.1%
722509	1	< 0.1%
723441	1	< 0.1%
723436	1	< 0.1%
720879	1	< 0.1%
722882	1	< 0.1%
Other values (38567)	38567	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
70699	1	< 0.1%
73673	1	< 0.1%
74724	1	< 0.1%
76583	1	< 0.1%
80353	1	< 0.1%
80364	1	< 0.1%
84914	1	< 0.1%
85483	1	< 0.1%
86999	1	< 0.1%
89243	1	< 0.1%

Value	Count	Frequency (%)
1314167	1	< 0.1%
1313524	1	< 0.1%
1311441	1	< 0.1%
1306957	1	< 0.1%
1306721	1	< 0.1%
1305201	1	< 0.1%
1305008	1	< 0.1%
1304956	1	< 0.1%
1304884	1	< 0.1%
1304871	1	< 0.1%

loan_amnt
Real number (ℝ)

Distinct	870
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11047.025

Minimum	500
Maximum	35000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	602.8 KiB

Quantile statistics

Minimum	500
5-th percentile	2400
Q1	5300
median	9600
Q3	15000
95-th percentile	25000
Maximum	35000
Range	34500
Interquartile range (IQR)	9700

Descriptive statistics

Standard deviation	7348.4416
Coefficient of variation (CV)	0.66519641
Kurtosis	0.84295245
Mean	11047.025
Median Absolute Deviation (MAD)	4600
Skewness	1.0781027
Sum	4.261611 × 10⁸
Variance	53999595
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	2809	7.3%
12000	2248	5.8%
5000	2028	5.3%
6000	1886	4.9%
15000	1838	4.8%
8000	1568	4.1%
20000	1536	4.0%
25000	1327	3.4%
4000	1123	2.9%
3000	1018	2.6%
Other values (860)	21196	54.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
500	5	< 0.1%
700	1	< 0.1%
725	1	< 0.1%
750	1	< 0.1%
800	1	< 0.1%
900	2	< 0.1%
950	1	< 0.1%
1000	298	0.8%
1050	4	< 0.1%
1075	1	< 0.1%

Value	Count	Frequency (%)
35000	601	1.6%
34800	2	< 0.1%
34675	1	< 0.1%
34525	1	< 0.1%
34475	5	< 0.1%
34200	1	< 0.1%
34000	13	< 0.1%
33950	8	< 0.1%
33600	4	< 0.1%
33500	2	< 0.1%

funded_amnt
Real number (ℝ)

Distinct	1019
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10784.059

Minimum	500
Maximum	35000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	602.8 KiB

Quantile statistics

Minimum	500
5-th percentile	2400
Q1	5200
median	9550
Q3	15000
95-th percentile	25000
Maximum	35000
Range	34500
Interquartile range (IQR)	9800

Descriptive statistics

Standard deviation	7090.306
Coefficient of variation (CV)	0.6574803
Kurtosis	1.0252786
Mean	10784.059
Median Absolute Deviation (MAD)	4550
Skewness	1.1038284
Sum	4.1601662 × 10⁸
Variance	50272440
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	2719	7.0%
12000	2161	5.6%
5000	2017	5.2%
6000	1876	4.9%
15000	1732	4.5%
8000	1556	4.0%
20000	1368	3.5%
4000	1120	2.9%
25000	1080	2.8%
3000	1010	2.6%
Other values (1009)	21938	56.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
500	5	< 0.1%
700	1	< 0.1%
725	1	< 0.1%
750	1	< 0.1%
800	1	< 0.1%
900	2	< 0.1%
950	1	< 0.1%
1000	299	0.8%
1050	5	< 0.1%
1075	1	< 0.1%

Value	Count	Frequency (%)
35000	499	1.3%
34800	1	< 0.1%
34675	2	< 0.1%
34525	1	< 0.1%
34475	4	< 0.1%
34250	1	< 0.1%
34000	12	< 0.1%
33950	6	< 0.1%
33600	4	< 0.1%
33500	1	< 0.1%

funded_amnt_inv
Real number (ℝ)

Distinct	8050
Distinct (%)	20.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10222.481

Minimum	0
Maximum	35000
Zeros	129
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	602.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1800
Q1	5000
median	8733.44
Q3	14000
95-th percentile	24500.067
Maximum	35000
Range	35000
Interquartile range (IQR)	9000

Descriptive statistics

Standard deviation	7022.7206
Coefficient of variation (CV)	0.68698788
Kurtosis	1.1648002
Mean	10222.481
Median Absolute Deviation (MAD)	4066.56
Skewness	1.1299968
Sum	3.9435265 × 10⁸
Variance	49318605
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5000	1294	3.4%
10000	1264	3.3%
6000	1182	3.1%
12000	1016	2.6%
8000	887	2.3%
4000	806	2.1%
3000	790	2.0%
15000	630	1.6%
7000	596	1.5%
2000	448	1.2%
Other values (8040)	29664	76.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	129	0.3%
0.000121098	1	< 0.1%
0.000531133	1	< 0.1%
0.000654607	1	< 0.1%
0.001867696	1	< 0.1%
0.001963093	1	< 0.1%
0.001966974	1	< 0.1%
0.002251738	1	< 0.1%
0.002283598	1	< 0.1%
0.002373058	1	< 0.1%

Value	Count	Frequency (%)
35000	127	0.3%
34997.35245	1	< 0.1%
34993.65539	1	< 0.1%
34993.32571	1	< 0.1%
34993.26306	1	< 0.1%
34993.19696	1	< 0.1%
34990.4308	1	< 0.1%
34987.27101	1	< 0.1%
34977.34674	1	< 0.1%
34975.81636	1	< 0.1%

term
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	602.8 KiB

36 months	29096
60 months	9481

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	385770
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	36 months
2nd row	60 months
3rd row	36 months
4th row	36 months
5th row	36 months

Common Values

Value	Count	Frequency (%)
36 months	29096	75.4%
60 months	9481	24.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
months	38577	50.0%
36	29096	37.7%
60	9481	12.3%

Most occurring characters

Value	Count	Frequency (%)
	77154	20.0%
6	38577	10.0%
m	38577	10.0%
o	38577	10.0%
n	38577	10.0%
t	38577	10.0%
h	38577	10.0%
s	38577	10.0%
3	29096	7.5%
0	9481	2.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	231462	60.0%
Space Separator	77154	20.0%
Decimal Number	77154	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	38577	16.7%
o	38577	16.7%
n	38577	16.7%
t	38577	16.7%
h	38577	16.7%
s	38577	16.7%

Decimal Number

Value	Count	Frequency (%)
6	38577	50.0%
3	29096	37.7%
0	9481	12.3%

Space Separator

Value	Count	Frequency (%)
	77154	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	231462	60.0%
Common	154308	40.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	38577	16.7%
o	38577	16.7%
n	38577	16.7%
t	38577	16.7%
h	38577	16.7%
s	38577	16.7%

Common

Value	Count	Frequency (%)
	77154	50.0%
6	38577	25.0%
3	29096	18.9%
0	9481	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	385770	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	77154	20.0%
6	38577	10.0%
m	38577	10.0%
o	38577	10.0%
n	38577	10.0%
t	38577	10.0%
h	38577	10.0%
s	38577	10.0%
3	29096	7.5%
0	9481	2.5%

int_rate
Categorical

Distinct	370
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	602.8 KiB

10.99%	913
11.49%	790
7.51%	787
13.49%	749
7.88%	725
Other values (365)	34613

Length

Max length	6
Median length	6
Mean length	5.687197
Min length	5

Characters and Unicode

Total characters	219395
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17 ?
Unique (%)	< 0.1%

Sample

1st row	10.65%
2nd row	15.27%
3rd row	15.96%
4th row	13.49%
5th row	7.90%

Common Values

Value	Count	Frequency (%)
10.99%	913	2.4%
11.49%	790	2.0%
7.51%	787	2.0%
13.49%	749	1.9%
7.88%	725	1.9%
7.49%	651	1.7%
9.99%	590	1.5%
7.90%	574	1.5%
5.42%	573	1.5%
11.71%	559	1.4%
Other values (360)	31666	82.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
10.99	913	2.4%
11.49	790	2.0%
7.51	787	2.0%
13.49	749	1.9%
7.88	725	1.9%
7.49	651	1.7%
9.99	590	1.5%
7.90	574	1.5%
5.42	573	1.5%
11.71	559	1.4%
Other values (360)	31666	82.1%

Most occurring characters

Value	Count	Frequency (%)
.	38577	17.6%
%	38577	17.6%
1	36981	16.9%
9	20915	9.5%
2	12253	5.6%
7	11763	5.4%
6	11763	5.4%
4	10740	4.9%
3	9749	4.4%
5	9723	4.4%
Other values (2)	18354	8.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	142241	64.8%
Other Punctuation	77154	35.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	36981	26.0%
9	20915	14.7%
2	12253	8.6%
7	11763	8.3%
6	11763	8.3%
4	10740	7.6%
3	9749	6.9%
5	9723	6.8%
8	9341	6.6%
0	9013	6.3%

Other Punctuation

Value	Count	Frequency (%)
.	38577	50.0%
%	38577	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	219395	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	38577	17.6%
%	38577	17.6%
1	36981	16.9%
9	20915	9.5%
2	12253	5.6%
7	11763	5.4%
6	11763	5.4%
4	10740	4.9%
3	9749	4.4%
5	9723	4.4%
Other values (2)	18354	8.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	219395	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	38577	17.6%
%	38577	17.6%
1	36981	16.9%
9	20915	9.5%
2	12253	5.6%
7	11763	5.4%
6	11763	5.4%
4	10740	4.9%
3	9749	4.4%
5	9723	4.4%
Other values (2)	18354	8.4%

installment
Real number (ℝ)

Distinct	15022
Distinct (%)	38.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	322.46632

Minimum	15.69
Maximum	1305.19
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	602.8 KiB

Quantile statistics

Minimum	15.69
5-th percentile	70.61
Q1	165.74
median	277.86
Q3	425.55
95-th percentile	760.82
Maximum	1305.19
Range	1289.5
Interquartile range (IQR)	259.81

Descriptive statistics

Standard deviation	208.63921
Coefficient of variation (CV)	0.64701087
Kurtosis	1.3179975
Mean	322.46632
Median Absolute Deviation (MAD)	121.76
Skewness	1.1504865
Sum	12439783
Variance	43530.322
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
311.11	68	0.2%
180.96	59	0.2%
311.02	54	0.1%
150.8	48	0.1%
368.45	46	0.1%
372.12	45	0.1%
330.76	43	0.1%
339.31	42	0.1%
317.72	41	0.1%
301.6	41	0.1%
Other values (15012)	38090	98.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15.69	1	< 0.1%
16.08	1	< 0.1%
16.25	1	< 0.1%
16.31	1	< 0.1%
16.47	1	< 0.1%
19.87	1	< 0.1%
20.22	1	< 0.1%
21.25	1	< 0.1%
21.81	1	< 0.1%
22.51	1	< 0.1%

Value	Count	Frequency (%)
1305.19	1	< 0.1%
1302.69	1	< 0.1%
1295.21	1	< 0.1%
1288.1	2	< 0.1%
1283.5	1	< 0.1%
1276.6	3	< 0.1%
1272.2	1	< 0.1%
1269.73	5	< 0.1%
1265.16	1	< 0.1%
1263.23	1	< 0.1%

grade
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	602.8 KiB

B	11675
A	10045
C	7834
D	5085
E	2663
Other values (2)	1275

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	38577
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	B
2nd row	C
3rd row	C
4th row	C
5th row	A

Common Values

Value	Count	Frequency (%)
B	11675	30.3%
A	10045	26.0%
C	7834	20.3%
D	5085	13.2%
E	2663	6.9%
F	976	2.5%
G	299	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
b	11675	30.3%
a	10045	26.0%
c	7834	20.3%
d	5085	13.2%
e	2663	6.9%
f	976	2.5%
g	299	0.8%

Most occurring characters

Value	Count	Frequency (%)
B	11675	30.3%
A	10045	26.0%
C	7834	20.3%
D	5085	13.2%
E	2663	6.9%
F	976	2.5%
G	299	0.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	38577	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
B	11675	30.3%
A	10045	26.0%
C	7834	20.3%
D	5085	13.2%
E	2663	6.9%
F	976	2.5%
G	299	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	38577	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	11675	30.3%
A	10045	26.0%
C	7834	20.3%
D	5085	13.2%
E	2663	6.9%
F	976	2.5%
G	299	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38577	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	11675	30.3%
A	10045	26.0%
C	7834	20.3%
D	5085	13.2%
E	2663	6.9%
F	976	2.5%
G	299	0.8%

sub_grade
Categorical

Distinct	35
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	602.8 KiB

A4	2873
B3	2825
A5	2715
B5	2615
B4	2437
Other values (30)	25112

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	77154
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	B2
2nd row	C4
3rd row	C5
4th row	C1
5th row	A4

Common Values

Value	Count	Frequency (%)
A4	2873	7.4%
B3	2825	7.3%
A5	2715	7.0%
B5	2615	6.8%
B4	2437	6.3%
C1	2055	5.3%
B2	2001	5.2%
C2	1931	5.0%
A3	1810	4.7%
B1	1797	4.7%
Other values (25)	15518	40.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a4	2873	7.4%
b3	2825	7.3%
a5	2715	7.0%
b5	2615	6.8%
b4	2437	6.3%
c1	2055	5.3%
b2	2001	5.2%
c2	1931	5.0%
a3	1810	4.7%
b1	1797	4.7%
Other values (25)	15518	40.2%

Most occurring characters

Value	Count	Frequency (%)
B	11675	15.1%
A	10045	13.0%
4	8063	10.5%
3	7974	10.3%
5	7847	10.2%
C	7834	10.2%
2	7650	9.9%
1	7043	9.1%
D	5085	6.6%
E	2663	3.5%
Other values (2)	1275	1.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	38577	50.0%
Decimal Number	38577	50.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
B	11675	30.3%
A	10045	26.0%
C	7834	20.3%
D	5085	13.2%
E	2663	6.9%
F	976	2.5%
G	299	0.8%

Decimal Number

Value	Count	Frequency (%)
4	8063	20.9%
3	7974	20.7%
5	7847	20.3%
2	7650	19.8%
1	7043	18.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	38577	50.0%
Common	38577	50.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	11675	30.3%
A	10045	26.0%
C	7834	20.3%
D	5085	13.2%
E	2663	6.9%
F	976	2.5%
G	299	0.8%

Common

Value	Count	Frequency (%)
4	8063	20.9%
3	7974	20.7%
5	7847	20.3%
2	7650	19.8%
1	7043	18.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	77154	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	11675	15.1%
A	10045	13.0%
4	8063	10.5%
3	7974	10.3%
5	7847	10.2%
C	7834	10.2%
2	7650	9.9%
1	7043	9.1%
D	5085	6.6%
E	2663	3.5%
Other values (2)	1275	1.7%

emp_title
Categorical

HIGH CARDINALITY MISSING

Distinct	28027
Distinct (%)	77.4%
Missing	2386
Missing (%)	6.2%
Memory size	602.8 KiB

US Army	131
Bank of America	107
IBM	65
AT&T	57
Kaiser Permanente	56
Other values (28022)	35775

Length

Max length	78
Median length	55
Mean length	18.34959
Min length	2

Characters and Unicode

Total characters	664090
Distinct characters	96
Distinct categories	15 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	24937 ?
Unique (%)	68.9%

Sample

1st row	Ryder
2nd row	AIR RESOURCES BOARD
3rd row	Veolia Transportaton
4th row	Southern Star Photography
5th row	MKC Accounting

Common Values

Value	Count	Frequency (%)
US Army	131	0.3%
Bank of America	107	0.3%
IBM	65	0.2%
AT&T	57	0.1%
Kaiser Permanente	56	0.1%
Wells Fargo	52	0.1%
USAF	52	0.1%
UPS	52	0.1%
US Air Force	51	0.1%
Walmart	45	0.1%
Other values (28017)	35523	92.1%
(Missing)	2386	6.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
inc	3111	3.2%
of	2913	3.0%
	1175	1.2%
and	931	1.0%
center	794	0.8%
bank	789	0.8%
county	770	0.8%
services	770	0.8%
the	728	0.7%
school	726	0.7%
Other values (18510)	84847	87.0%

Most occurring characters

Value	Count	Frequency (%)
	62750	9.4%
e	54249	8.2%
a	42526	6.4%
n	41351	6.2%
o	41275	6.2%
i	39292	5.9%
r	38852	5.9%
t	37392	5.6%
s	29372	4.4%
l	25136	3.8%
Other values (86)	251895	37.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	474455	71.4%
Uppercase Letter	116049	17.5%
Space Separator	62750	9.4%
Other Punctuation	8564	1.3%
Dash Punctuation	1008	0.2%
Decimal Number	929	0.1%
Open Punctuation	152	< 0.1%
Close Punctuation	150	< 0.1%
Math Symbol	21	< 0.1%
Other Number	2	< 0.1%
Other values (5)	10	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	14131	12.2%
S	12931	11.1%
A	8624	7.4%
I	7357	6.3%
M	6336	5.5%
P	5923	5.1%
T	5522	4.8%
L	5385	4.6%
E	5083	4.4%
D	4905	4.2%
Other values (18)	39852	34.3%

Lowercase Letter

Value	Count	Frequency (%)
e	54249	11.4%
a	42526	9.0%
n	41351	8.7%
o	41275	8.7%
i	39292	8.3%
r	38852	8.2%
t	37392	7.9%
s	29372	6.2%
l	25136	5.3%
c	22413	4.7%
Other values (17)	102597	21.6%

Other Punctuation

Value	Count	Frequency (%)
.	4148	48.4%
,	2137	25.0%
&	1265	14.8%
'	630	7.4%
/	300	3.5%
#	34	0.4%
@	10	0.1%
:	9	0.1%
!	8	0.1%
"	8	0.1%
Other values (5)	15	0.2%

Decimal Number

Value	Count	Frequency (%)
1	183	19.7%
2	155	16.7%
3	152	16.4%
0	93	10.0%
4	86	9.3%
5	69	7.4%
9	61	6.6%
6	57	6.1%
7	42	4.5%
8	31	3.3%

Math Symbol

Value	Count	Frequency (%)
+	18	85.7%
\|	2	9.5%
<	1	4.8%

Open Punctuation

Value	Count	Frequency (%)
(	151	99.3%
[	1	0.7%

Currency Symbol

Value	Count	Frequency (%)
¢	1	50.0%
$	1	50.0%

Control

Value	Count	Frequency (%)
	1	50.0%
	1	50.0%

Space Separator

Value	Count	Frequency (%)
	62750	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1008	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	150	100.0%

Other Number

Value	Count	Frequency (%)
²	2	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	2	100.0%

Other Symbol

Value	Count	Frequency (%)
©	2	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	590504	88.9%
Common	73586	11.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	54249	9.2%
a	42526	7.2%
n	41351	7.0%
o	41275	7.0%
i	39292	6.7%
r	38852	6.6%
t	37392	6.3%
s	29372	5.0%
l	25136	4.3%
c	22413	3.8%
Other values (45)	218646	37.0%

Common

Value	Count	Frequency (%)
	62750	85.3%
.	4148	5.6%
,	2137	2.9%
&	1265	1.7%
-	1008	1.4%
'	630	0.9%
/	300	0.4%
1	183	0.2%
2	155	0.2%
3	152	0.2%
Other values (31)	858	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	664076	> 99.9%
None	14	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	62750	9.4%
e	54249	8.2%
a	42526	6.4%
n	41351	6.2%
o	41275	6.2%
i	39292	5.9%
r	38852	5.9%
t	37392	5.6%
s	29372	4.4%
l	25136	3.8%
Other values (77)	251881	37.9%

None

Value	Count	Frequency (%)
Ã	3	21.4%
²	2	14.3%
©	2	14.3%
Â	2	14.3%
¢	1	7.1%
	1	7.1%
â	1	7.1%
	1	7.1%
¡	1	7.1%

emp_length
Categorical

Distinct	11
Distinct (%)	< 0.1%
Missing	1033
Missing (%)	2.7%
Memory size	602.8 KiB

10+ years	8488
< 1 year	4508
2 years	4291
3 years	4012
4 years	3342
Other values (6)	12903

Length

Max length	9
Median length	7
Mean length	7.4878276
Min length	6

Characters and Unicode

Total characters	281123
Distinct characters	18
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10+ years
2nd row	< 1 year
3rd row	10+ years
4th row	10+ years
5th row	3 years

Common Values

Value	Count	Frequency (%)
10+ years	8488	22.0%
< 1 year	4508	11.7%
2 years	4291	11.1%
3 years	4012	10.4%
4 years	3342	8.7%
5 years	3194	8.3%
1 year	3169	8.2%
6 years	2168	5.6%
7 years	1711	4.4%
8 years	1435	3.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
years	29867	37.5%
10	8488	10.7%
1	7677	9.6%
year	7677	9.6%
	4508	5.7%
2	4291	5.4%
3	4012	5.0%
4	3342	4.2%
5	3194	4.0%
6	2168	2.7%
Other values (3)	4372	5.5%

Most occurring characters

Value	Count	Frequency (%)
	42052	15.0%
y	37544	13.4%
e	37544	13.4%
a	37544	13.4%
r	37544	13.4%
s	29867	10.6%
1	16165	5.8%
0	8488	3.0%
+	8488	3.0%
<	4508	1.6%
Other values (8)	21379	7.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	180043	64.0%
Decimal Number	46032	16.4%
Space Separator	42052	15.0%
Math Symbol	12996	4.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	16165	35.1%
0	8488	18.4%
2	4291	9.3%
3	4012	8.7%
4	3342	7.3%
5	3194	6.9%
6	2168	4.7%
7	1711	3.7%
8	1435	3.1%
9	1226	2.7%

Lowercase Letter

Value	Count	Frequency (%)
y	37544	20.9%
e	37544	20.9%
a	37544	20.9%
r	37544	20.9%
s	29867	16.6%

Math Symbol

Value	Count	Frequency (%)
+	8488	65.3%
<	4508	34.7%

Space Separator

Value	Count	Frequency (%)
	42052	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	180043	64.0%
Common	101080	36.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	42052	41.6%
1	16165	16.0%
0	8488	8.4%
+	8488	8.4%
<	4508	4.5%
2	4291	4.2%
3	4012	4.0%
4	3342	3.3%
5	3194	3.2%
6	2168	2.1%
Other values (3)	4372	4.3%

Latin

Value	Count	Frequency (%)
y	37544	20.9%
e	37544	20.9%
a	37544	20.9%
r	37544	20.9%
s	29867	16.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	281123	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	42052	15.0%
y	37544	13.4%
e	37544	13.4%
a	37544	13.4%
r	37544	13.4%
s	29867	10.6%
1	16165	5.8%
0	8488	3.0%
+	8488	3.0%
<	4508	1.6%
Other values (8)	21379	7.6%

home_ownership
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	602.8 KiB

RENT	18480
MORTGAGE	17021
OWN	2975
OTHER	98
NONE	3

Length

Max length	8
Median length	5
Mean length	5.6903077
Min length	3

Characters and Unicode

Total characters	219515
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RENT
2nd row	RENT
3rd row	RENT
4th row	RENT
5th row	RENT

Common Values

Value	Count	Frequency (%)
RENT	18480	47.9%
MORTGAGE	17021	44.1%
OWN	2975	7.7%
OTHER	98	0.3%
NONE	3	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
rent	18480	47.9%
mortgage	17021	44.1%
own	2975	7.7%
other	98	0.3%
none	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
E	35602	16.2%
R	35599	16.2%
T	35599	16.2%
G	34042	15.5%
N	21461	9.8%
O	20097	9.2%
M	17021	7.8%
A	17021	7.8%
W	2975	1.4%
H	98	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	219515	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	35602	16.2%
R	35599	16.2%
T	35599	16.2%
G	34042	15.5%
N	21461	9.8%
O	20097	9.2%
M	17021	7.8%
A	17021	7.8%
W	2975	1.4%
H	98	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	219515	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	35602	16.2%
R	35599	16.2%
T	35599	16.2%
G	34042	15.5%
N	21461	9.8%
O	20097	9.2%
M	17021	7.8%
A	17021	7.8%
W	2975	1.4%
H	98	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	219515	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	35602	16.2%
R	35599	16.2%
T	35599	16.2%
G	34042	15.5%
N	21461	9.8%
O	20097	9.2%
M	17021	7.8%
A	17021	7.8%
W	2975	1.4%
H	98	< 0.1%

annual_inc
Real number (ℝ)

Distinct	5215
Distinct (%)	13.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	68777.974

Minimum	4000
Maximum	6000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	602.8 KiB

Quantile statistics

Minimum	4000
5-th percentile	24000
Q1	40000
median	58868
Q3	82000
95-th percentile	140004
Maximum	6000000
Range	5996000
Interquartile range (IQR)	42000

Descriptive statistics

Standard deviation	64218.682
Coefficient of variation (CV)	0.93371
Kurtosis	2308.7752
Mean	68777.974
Median Absolute Deviation (MAD)	19868
Skewness	31.198414
Sum	2.6532479 × 10⁹
Variance	4.1240391 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60000	1466	3.8%
50000	1029	2.7%
40000	855	2.2%
45000	811	2.1%
30000	808	2.1%
75000	786	2.0%
65000	779	2.0%
70000	714	1.9%
48000	696	1.8%
80000	636	1.6%
Other values (5205)	29997	77.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4000	1	< 0.1%
4080	1	< 0.1%
4200	2	< 0.1%
4800	4	< 0.1%
4888	1	< 0.1%
5000	1	< 0.1%
5500	1	< 0.1%
6000	5	< 0.1%
7000	1	< 0.1%
7200	4	< 0.1%

Value	Count	Frequency (%)
6000000	1	< 0.1%
3900000	1	< 0.1%
2039784	1	< 0.1%
1900000	1	< 0.1%
1782000	1	< 0.1%
1440000	1	< 0.1%
1362000	1	< 0.1%
1250000	1	< 0.1%
1200000	4	< 0.1%
1176000	1	< 0.1%

verification_status
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	602.8 KiB

Not Verified	16694
Verified	12206
Source Verified	9677

Length

Max length	15
Median length	12
Mean length	11.486922
Min length	8

Characters and Unicode

Total characters	443131
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Verified
2nd row	Source Verified
3rd row	Not Verified
4th row	Source Verified
5th row	Source Verified

Common Values

Value	Count	Frequency (%)
Not Verified	16694	43.3%
Verified	12206	31.6%
Source Verified	9677	25.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
verified	38577	59.4%
not	16694	25.7%
source	9677	14.9%

Most occurring characters

Value	Count	Frequency (%)
e	86831	19.6%
i	77154	17.4%
r	48254	10.9%
V	38577	8.7%
f	38577	8.7%
d	38577	8.7%
o	26371	6.0%
	26371	6.0%
N	16694	3.8%
t	16694	3.8%
Other values (3)	29031	6.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	351812	79.4%
Uppercase Letter	64948	14.7%
Space Separator	26371	6.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	86831	24.7%
i	77154	21.9%
r	48254	13.7%
f	38577	11.0%
d	38577	11.0%
o	26371	7.5%
t	16694	4.7%
u	9677	2.8%
c	9677	2.8%

Uppercase Letter

Value	Count	Frequency (%)
V	38577	59.4%
N	16694	25.7%
S	9677	14.9%

Space Separator

Value	Count	Frequency (%)
	26371	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	416760	94.0%
Common	26371	6.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	86831	20.8%
i	77154	18.5%
r	48254	11.6%
V	38577	9.3%
f	38577	9.3%
d	38577	9.3%
o	26371	6.3%
N	16694	4.0%
t	16694	4.0%
S	9677	2.3%
Other values (2)	19354	4.6%

Common

Value	Count	Frequency (%)
	26371	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	443131	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	86831	19.6%
i	77154	17.4%
r	48254	10.9%
V	38577	8.7%
f	38577	8.7%
d	38577	8.7%
o	26371	6.0%
	26371	6.0%
N	16694	3.8%
t	16694	3.8%
Other values (3)	29031	6.6%

issue_d
Categorical

HIGH CARDINALITY HIGH CORRELATION

Distinct	55
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	602.8 KiB

Nov-11	2062
Dec-11	2042
Oct-11	1941
Sep-11	1913
Aug-11	1798
Other values (50)	28821

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	231462
Distinct characters	28
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Dec-11
2nd row	Dec-11
3rd row	Dec-11
4th row	Dec-11
5th row	Dec-11

Common Values

Value	Count	Frequency (%)
Nov-11	2062	5.3%
Dec-11	2042	5.3%
Oct-11	1941	5.0%
Sep-11	1913	5.0%
Aug-11	1798	4.7%
Jul-11	1745	4.5%
Jun-11	1728	4.5%
May-11	1609	4.2%
Apr-11	1559	4.0%
Mar-11	1442	3.7%
Other values (45)	20738	53.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nov-11	2062	5.3%
dec-11	2042	5.3%
oct-11	1941	5.0%
sep-11	1913	5.0%
aug-11	1798	4.7%
jul-11	1745	4.5%
jun-11	1728	4.5%
may-11	1609	4.2%
apr-11	1559	4.0%
mar-11	1442	3.7%
Other values (45)	20738	53.8%

Most occurring characters

Value	Count	Frequency (%)
1	52564	22.7%
-	38577	16.7%
0	18061	7.8%
e	10071	4.4%
u	9919	4.3%
J	8910	3.8%
a	7989	3.5%
c	7976	3.4%
p	6329	2.7%
A	6219	2.7%
Other values (18)	64847	28.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	77154	33.3%
Lowercase Letter	77154	33.3%
Dash Punctuation	38577	16.7%
Uppercase Letter	38577	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	10071	13.1%
u	9919	12.9%
a	7989	10.4%
c	7976	10.3%
p	6329	8.2%
n	5559	7.2%
r	5522	7.2%
o	4006	5.2%
v	4006	5.2%
t	3761	4.9%
Other values (4)	12016	15.6%

Uppercase Letter

Value	Count	Frequency (%)
J	8910	23.1%
A	6219	16.1%
M	5610	14.5%
D	4215	10.9%
N	4006	10.4%
O	3761	9.7%
S	3498	9.1%
F	2358	6.1%

Decimal Number

Value	Count	Frequency (%)
1	52564	68.1%
0	18061	23.4%
9	4716	6.1%
8	1562	2.0%
7	251	0.3%

Dash Punctuation

Value	Count	Frequency (%)
-	38577	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	115731	50.0%
Latin	115731	50.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	10071	8.7%
u	9919	8.6%
J	8910	7.7%
a	7989	6.9%
c	7976	6.9%
p	6329	5.5%
A	6219	5.4%
M	5610	4.8%
n	5559	4.8%
r	5522	4.8%
Other values (12)	41627	36.0%

Common

Value	Count	Frequency (%)
1	52564	45.4%
-	38577	33.3%
0	18061	15.6%
9	4716	4.1%
8	1562	1.3%
7	251	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	231462	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	52564	22.7%
-	38577	16.7%
0	18061	7.8%
e	10071	4.4%
u	9919	4.3%
J	8910	3.8%
a	7989	3.5%
c	7976	3.4%
p	6329	2.7%
A	6219	2.7%
Other values (18)	64847	28.0%

loan_status
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	602.8 KiB

Fully Paid	32950
Charged Off	5627

Length

Max length	11
Median length	10
Mean length	10.145864
Min length	10

Characters and Unicode

Total characters	391397
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Fully Paid
2nd row	Charged Off
3rd row	Fully Paid
4th row	Fully Paid
5th row	Fully Paid

Common Values

Value	Count	Frequency (%)
Fully Paid	32950	85.4%
Charged Off	5627	14.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
fully	32950	42.7%
paid	32950	42.7%
charged	5627	7.3%
off	5627	7.3%

Most occurring characters

Value	Count	Frequency (%)
l	65900	16.8%
	38577	9.9%
a	38577	9.9%
d	38577	9.9%
F	32950	8.4%
u	32950	8.4%
y	32950	8.4%
P	32950	8.4%
i	32950	8.4%
f	11254	2.9%
Other values (6)	33762	8.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	275666	70.4%
Uppercase Letter	77154	19.7%
Space Separator	38577	9.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	65900	23.9%
a	38577	14.0%
d	38577	14.0%
u	32950	12.0%
y	32950	12.0%
i	32950	12.0%
f	11254	4.1%
h	5627	2.0%
r	5627	2.0%
g	5627	2.0%

Uppercase Letter

Value	Count	Frequency (%)
F	32950	42.7%
P	32950	42.7%
C	5627	7.3%
O	5627	7.3%

Space Separator

Value	Count	Frequency (%)
	38577	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	352820	90.1%
Common	38577	9.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	65900	18.7%
a	38577	10.9%
d	38577	10.9%
F	32950	9.3%
u	32950	9.3%
y	32950	9.3%
P	32950	9.3%
i	32950	9.3%
f	11254	3.2%
C	5627	1.6%
Other values (5)	28135	8.0%

Common

Value	Count	Frequency (%)
	38577	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	391397	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	65900	16.8%
	38577	9.9%
a	38577	9.9%
d	38577	9.9%
F	32950	8.4%
u	32950	8.4%
y	32950	8.4%
P	32950	8.4%
i	32950	8.4%
f	11254	2.9%
Other values (6)	33762	8.6%

pymnt_plan
Boolean

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	339.1 KiB

False	38577

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	38577	100.0%

url
Categorical

HIGH CARDINALITY UNIFORM UNIQUE

Distinct	38577
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	602.8 KiB

https://lendingclub.com/browse/loanDetail.action?loan_id=1077501	1
https://lendingclub.com/browse/loanDetail.action?loan_id=562133	1
https://lendingclub.com/browse/loanDetail.action?loan_id=558545	1
https://lendingclub.com/browse/loanDetail.action?loan_id=562256	1
https://lendingclub.com/browse/loanDetail.action?loan_id=562224	1
Other values (38572)	38572

Length

Max length	64
Median length	63
Mean length	63.102807
Min length	62

Characters and Unicode

Total characters	2434317
Distinct characters	35
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	38577 ?
Unique (%)	100.0%

Sample

1st row	https://lendingclub.com/browse/loanDetail.action?loan_id=1077501
2nd row	https://lendingclub.com/browse/loanDetail.action?loan_id=1077430
3rd row	https://lendingclub.com/browse/loanDetail.action?loan_id=1077175
4th row	https://lendingclub.com/browse/loanDetail.action?loan_id=1076863
5th row	https://lendingclub.com/browse/loanDetail.action?loan_id=1075269

Common Values

Value	Count	Frequency (%)
https://lendingclub.com/browse/loanDetail.action?loan_id=1077501	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=562133	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=558545	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=562256	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=562224	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=561407	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=562178	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=562173	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=560051	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=561718	1	< 0.1%
Other values (38567)	38567	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://lendingclub.com/browse/loandetail.action?loan_id=1077501	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=1069357	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=1069742	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=1069039	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=1062474	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=1077175	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=1076863	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=1075269	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=1069639	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=1072053	1	< 0.1%
Other values (38567)	38567	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
o	192885	7.9%
l	192885	7.9%
n	192885	7.9%
a	154308	6.3%
t	154308	6.3%
/	154308	6.3%
i	154308	6.3%
c	115731	4.8%
e	115731	4.8%
.	77154	3.2%
Other values (25)	929814	38.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1774542	72.9%
Other Punctuation	308616	12.7%
Decimal Number	235428	9.7%
Uppercase Letter	38577	1.6%
Connector Punctuation	38577	1.6%
Math Symbol	38577	1.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	192885	10.9%
l	192885	10.9%
n	192885	10.9%
a	154308	8.7%
t	154308	8.7%
i	154308	8.7%
c	115731	6.5%
e	115731	6.5%
b	77154	4.3%
d	77154	4.3%
Other values (8)	347193	19.6%

Decimal Number

Value	Count	Frequency (%)
6	26013	11.0%
5	26004	11.0%
7	25234	10.7%
4	25013	10.6%
8	24746	10.5%
1	23280	9.9%
0	23016	9.8%
3	21489	9.1%
9	20951	8.9%
2	19682	8.4%

Other Punctuation

Value	Count	Frequency (%)
/	154308	50.0%
.	77154	25.0%
?	38577	12.5%
:	38577	12.5%

Uppercase Letter

Value	Count	Frequency (%)
D	38577	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	38577	100.0%

Math Symbol

Value	Count	Frequency (%)
=	38577	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1813119	74.5%
Common	621198	25.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	192885	10.6%
l	192885	10.6%
n	192885	10.6%
a	154308	8.5%
t	154308	8.5%
i	154308	8.5%
c	115731	6.4%
e	115731	6.4%
b	77154	4.3%
d	77154	4.3%
Other values (9)	385770	21.3%

Common

Value	Count	Frequency (%)
/	154308	24.8%
.	77154	12.4%
?	38577	6.2%
_	38577	6.2%
=	38577	6.2%
:	38577	6.2%
6	26013	4.2%
5	26004	4.2%
7	25234	4.1%
4	25013	4.0%
Other values (6)	133164	21.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2434317	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	192885	7.9%
l	192885	7.9%
n	192885	7.9%
a	154308	6.3%
t	154308	6.3%
/	154308	6.3%
i	154308	6.3%
c	115731	4.8%
e	115731	4.8%
.	77154	3.2%
Other values (25)	929814	38.2%

desc
Categorical

HIGH CARDINALITY MISSING

Distinct	25803
Distinct (%)	99.1%
Missing	12527
Missing (%)	32.5%
Memory size	602.8 KiB

	209
Debt Consolidation	8
Camping Membership	6
credit card debt consolidation	3
personal loan	3
Other values (25798)	25821

Length

Max length	3988
Median length	2235
Mean length	428.42656
Min length	1

Characters and Unicode

Total characters	11160512
Distinct characters	142
Distinct categories	17 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	25777 ?
Unique (%)	99.0%

Sample

1st row	Borrower added on 12/22/11 > I need to upgrade my business technologies.<br>
2nd row	Borrower added on 12/22/11 > I plan to use this money to finance the motorcycle i am looking at. I plan to have it paid off as soon as possible/when i sell my old bike. I only need this money because the deal im looking at is to good to pass up.<br><br> Borrower added on 12/22/11 > I plan to use this money to finance the motorcycle i am looking at. I plan to have it paid off as soon as possible/when i sell my old bike.I only need this money because the deal im looking at is to good to pass up. I have finished college with an associates degree in business and its takingmeplaces<br>
3rd row	Borrower added on 12/21/11 > to pay for property tax (borrow from friend, need to pay back) & central A/C need to be replace. I'm very sorry to let my loan expired last time.<br>
4th row	Borrower added on 12/18/11 > I am planning on using the funds to pay off two retail credit cards with 24.99% interest rates, as well as a major bank credit card with a 18.99% rate. I pay all my bills on time, looking for a lower combined payment and lower monthly payment.<br>
5th row	Borrower added on 12/16/11 > Downpayment for a car.<br>

Common Values

Value	Count	Frequency (%)
	209	0.5%
Debt Consolidation	8	< 0.1%
Camping Membership	6	< 0.1%
credit card debt consolidation	3	< 0.1%
personal loan	3	< 0.1%
Personal Loan	3	< 0.1%
credit card consolidation	3	< 0.1%
Borrower added on 12/05/11 > Credit Card Refinancing<br>	2	< 0.1%
I have 2nd mortgage on a rental property with balance of $109k. I have cash flow of $85k and plan to pay off the 2nd mortgage using this loan to make up for rest of the balance. You will see a 2nd mortgage debt on my credit around $965.00 which will go away once this loan is approved as I will be paying it off. The interest rate needs to be below 9% since I can use my credit card to borrow same money for 10%.	2	< 0.1%
This loan would be to consolidate my credit card debts, and have one payment at a reasonable interest rate.	2	< 0.1%
Other values (25793)	25809	66.9%
(Missing)	12527	32.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
i	75916	3.8%
to	69499	3.5%
a	53846	2.7%
the	53177	2.7%
and	53117	2.6%
my	50208	2.5%
on	47613	2.4%
	36046	1.8%
for	31977	1.6%
have	31738	1.6%
Other values (53153)	1501286	74.9%

Most occurring characters

Value	Count	Frequency (%)
	2073657	18.6%
e	932554	8.4%
a	698467	6.3%
o	692152	6.2%
t	635221	5.7%
n	598326	5.4%
r	574714	5.1%
i	485292	4.3%
s	416998	3.7%
d	388085	3.5%
Other values (132)	3665046	32.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7952052	71.3%
Space Separator	2073730	18.6%
Decimal Number	337501	3.0%
Other Punctuation	318845	2.9%
Uppercase Letter	296543	2.7%
Math Symbol	136215	1.2%
Currency Symbol	16427	0.1%
Dash Punctuation	12773	0.1%
Close Punctuation	7222	0.1%
Open Punctuation	6623	0.1%
Other values (7)	2581	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	92670	31.3%
B	33654	11.3%
T	27855	9.4%
A	15268	5.1%
C	14060	4.7%
M	14004	4.7%
S	9490	3.2%
E	9055	3.1%
W	8665	2.9%
L	8481	2.9%
Other values (21)	63341	21.4%

Lowercase Letter

Value	Count	Frequency (%)
e	932554	11.7%
a	698467	8.8%
o	692152	8.7%
t	635221	8.0%
n	598326	7.5%
r	574714	7.2%
i	485292	6.1%
s	416998	5.2%
d	388085	4.9%
l	347474	4.4%
Other values (18)	2182769	27.4%

Other Punctuation

Value	Count	Frequency (%)
.	117933	37.0%
/	113038	35.5%
,	49105	15.4%
'	13124	4.1%
!	6589	2.1%
%	5598	1.8%
:	5223	1.6%
;	3253	1.0%
&	2537	0.8%
"	799	0.3%
Other values (10)	1646	0.5%

Control

Value	Count	Frequency (%)
	1283	60.4%
	411	19.4%
	191	9.0%
	37	1.7%
	37	1.7%
	35	1.6%
	27	1.3%
	27	1.3%
	23	1.1%
	15	0.7%
Other values (9)	37	1.7%

Decimal Number

Value	Count	Frequency (%)
0	102100	30.3%
1	93833	27.8%
2	35795	10.6%
5	20973	6.2%
3	17490	5.2%
9	15923	4.7%
4	13450	4.0%
6	12849	3.8%
7	12558	3.7%
8	12530	3.7%

Math Symbol

Value	Count	Frequency (%)
>	82133	60.3%
<	52206	38.3%
+	959	0.7%
=	592	0.4%
~	284	0.2%
¬	31	< 0.1%
\|	10	< 0.1%

Other Symbol

Value	Count	Frequency (%)
¦	96	83.5%
©	15	13.0%
�	2	1.7%
®	2	1.7%

Dash Punctuation

Value	Count	Frequency (%)
-	12758	99.9%
—	9	0.1%
–	6	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	7176	99.4%
]	43	0.6%
}	3	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
(	6578	99.3%
[	43	0.6%
{	2	< 0.1%

Modifier Symbol

Value	Count	Frequency (%)
`	13	68.4%
^	5	26.3%
¯	1	5.3%

Space Separator

Value	Count	Frequency (%)
	2073657	> 99.9%
	73	< 0.1%

Currency Symbol

Value	Count	Frequency (%)
$	16353	99.5%
¢	74	0.5%

Final Punctuation

Value	Count	Frequency (%)
’	78	81.2%
”	18	18.8%

Initial Punctuation

Value	Count	Frequency (%)
“	18	85.7%
‘	3	14.3%

Other Number

Value	Count	Frequency (%)
½	6	75.0%
¾	2	25.0%

Connector Punctuation

Value	Count	Frequency (%)
_	199	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8248595	73.9%
Common	2911917	26.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
	2073657	71.2%
.	117933	4.1%
/	113038	3.9%
0	102100	3.5%
1	93833	3.2%
>	82133	2.8%
<	52206	1.8%
,	49105	1.7%
2	35795	1.2%
5	20973	0.7%
Other values (73)	171144	5.9%

Latin

Value	Count	Frequency (%)
e	932554	11.3%
a	698467	8.5%
o	692152	8.4%
t	635221	7.7%
n	598326	7.3%
r	574714	7.0%
i	485292	5.9%
s	416998	5.1%
d	388085	4.7%
l	347474	4.2%
Other values (49)	2479312	30.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11158518	> 99.9%
None	1833	< 0.1%
Punctuation	159	< 0.1%
Specials	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2073657	18.6%
e	932554	8.4%
a	698467	6.3%
o	692152	6.2%
t	635221	5.7%
n	598326	5.4%
r	574714	5.2%
i	485292	4.3%
s	416998	3.7%
d	388085	3.5%
Other values (86)	3663052	32.8%

None

Value	Count	Frequency (%)
â	438	23.9%
	411	22.4%
	191	10.4%
Â	127	6.9%
Ã	97	5.3%
¦	96	5.2%
¢	74	4.0%
	73	4.0%
	37	2.0%
	37	2.0%
Other values (27)	252	13.7%

Punctuation

Value	Count	Frequency (%)
’	78	49.1%
…	19	11.9%
”	18	11.3%
“	18	11.3%
—	9	5.7%
•	8	5.0%
–	6	3.8%
‘	3	1.9%

Specials

Value	Count	Frequency (%)
�	2	100.0%

purpose
Categorical

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	602.8 KiB

debt_consolidation	18055
credit_card	5027
other	3865
home_improvement	2875
major_purchase	2150
Other values (9)	6605

Length

Max length	18
Median length	16
Mean length	13.726106
Min length	3

Characters and Unicode

Total characters	529512
Distinct characters	22
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	credit_card
2nd row	car
3rd row	small_business
4th row	other
5th row	wedding

Common Values

Value	Count	Frequency (%)
debt_consolidation	18055	46.8%
credit_card	5027	13.0%
other	3865	10.0%
home_improvement	2875	7.5%
major_purchase	2150	5.6%
small_business	1754	4.5%
car	1499	3.9%
wedding	926	2.4%
medical	681	1.8%
moving	576	1.5%
Other values (4)	1169	3.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
debt_consolidation	18055	46.8%
credit_card	5027	13.0%
other	3865	10.0%
home_improvement	2875	7.5%
major_purchase	2150	5.6%
small_business	1754	4.5%
car	1499	3.9%
wedding	926	2.4%
medical	681	1.8%
moving	576	1.5%
Other values (4)	1169	3.0%

Most occurring characters

Value	Count	Frequency (%)
o	67573	12.8%
d	49022	9.3%
i	48649	9.2%
t	48577	9.2%
n	43145	8.1%
e	42285	8.0%
c	33139	6.3%
a	32818	6.2%
_	29963	5.7%
s	27588	5.2%
Other values (12)	106753	20.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	499549	94.3%
Connector Punctuation	29963	5.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	67573	13.5%
d	49022	9.8%
i	48649	9.7%
t	48577	9.7%
n	43145	8.6%
e	42285	8.5%
c	33139	6.6%
a	32818	6.6%
s	27588	5.5%
r	22797	4.6%
Other values (11)	83956	16.8%

Connector Punctuation

Value	Count	Frequency (%)
_	29963	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	499549	94.3%
Common	29963	5.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	67573	13.5%
d	49022	9.8%
i	48649	9.7%
t	48577	9.7%
n	43145	8.6%
e	42285	8.5%
c	33139	6.6%
a	32818	6.6%
s	27588	5.5%
r	22797	4.6%
Other values (11)	83956	16.8%

Common

Value	Count	Frequency (%)
_	29963	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	529512	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	67573	12.8%
d	49022	9.3%
i	48649	9.2%
t	48577	9.2%
n	43145	8.1%
e	42285	8.0%
c	33139	6.3%
a	32818	6.2%
_	29963	5.7%
s	27588	5.2%
Other values (12)	106753	20.2%

title
Categorical

Distinct	19297
Distinct (%)	50.0%
Missing	11
Missing (%)	< 0.1%
Memory size	602.8 KiB

Debt Consolidation	2090
Debt Consolidation Loan	1620
Personal Loan	641
Consolidation	491
debt consolidation	478
Other values (19292)	33246

Length

Max length	80
Median length	72
Mean length	17.231888
Min length	1

Characters and Unicode

Total characters	664565
Distinct characters	108
Distinct categories	15 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17349 ?
Unique (%)	45.0%

Sample

1st row	Computer
2nd row	bike
3rd row	real estate business
4th row	personel
5th row	My wedding loan I promise to pay back

Common Values

Value	Count	Frequency (%)
Debt Consolidation	2090	5.4%
Debt Consolidation Loan	1620	4.2%
Personal Loan	641	1.7%
Consolidation	491	1.3%
debt consolidation	478	1.2%
Credit Card Consolidation	348	0.9%
Home Improvement	345	0.9%
Debt consolidation	322	0.8%
Small Business Loan	305	0.8%
Personal	301	0.8%
Other values (19287)	31625	82.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
loan	10487	10.3%
debt	8915	8.7%
consolidation	8276	8.1%
credit	4503	4.4%
card	3264	3.2%
personal	1983	1.9%
home	1801	1.8%
pay	1314	1.3%
off	1230	1.2%
my	1113	1.1%
Other values (8837)	59041	57.9%

Most occurring characters

Value	Count	Frequency (%)
	64502	9.7%
o	63688	9.6%
n	54040	8.1%
e	53270	8.0%
a	48795	7.3%
i	42606	6.4%
t	41486	6.2%
d	29847	4.5%
r	28521	4.3%
s	27739	4.2%
Other values (98)	210071	31.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	507482	76.4%
Uppercase Letter	80935	12.2%
Space Separator	64502	9.7%
Decimal Number	5844	0.9%
Other Punctuation	4393	0.7%
Dash Punctuation	815	0.1%
Connector Punctuation	204	< 0.1%
Close Punctuation	103	< 0.1%
Currency Symbol	93	< 0.1%
Math Symbol	91	< 0.1%
Other values (5)	103	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	63688	12.5%
n	54040	10.6%
e	53270	10.5%
a	48795	9.6%
i	42606	8.4%
t	41486	8.2%
d	29847	5.9%
r	28521	5.6%
s	27739	5.5%
l	25529	5.0%
Other values (18)	91961	18.1%

Uppercase Letter

Value	Count	Frequency (%)
C	17977	22.2%
L	9952	12.3%
D	8927	11.0%
P	5506	6.8%
R	3665	4.5%
M	3178	3.9%
S	3132	3.9%
B	3018	3.7%
H	2826	3.5%
E	2812	3.5%
Other values (18)	19942	24.6%

Other Punctuation

Value	Count	Frequency (%)
!	1105	25.2%
'	980	22.3%
.	709	16.1%
/	519	11.8%
,	431	9.8%
&	325	7.4%
%	95	2.2%
:	64	1.5%
"	56	1.3%
?	25	0.6%
Other values (5)	84	1.9%

Decimal Number

Value	Count	Frequency (%)
0	1639	28.0%
1	1638	28.0%
2	1077	18.4%
3	291	5.0%
5	252	4.3%
9	250	4.3%
4	212	3.6%
6	174	3.0%
8	163	2.8%
7	148	2.5%

Control

Value	Count	Frequency (%)
	4	21.1%
	4	21.1%
	4	21.1%
	2	10.5%
	2	10.5%
	1	5.3%
	1	5.3%
	1	5.3%

Math Symbol

Value	Count	Frequency (%)
+	52	57.1%
=	19	20.9%
<	9	9.9%
>	8	8.8%
~	2	2.2%
\|	1	1.1%

Modifier Symbol

Value	Count	Frequency (%)
^	1	33.3%
`	1	33.3%
´	1	33.3%

Close Punctuation

Value	Count	Frequency (%)
)	99	96.1%
]	4	3.9%

Open Punctuation

Value	Count	Frequency (%)
(	75	96.2%
[	3	3.8%

Space Separator

Value	Count	Frequency (%)
	64502	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	815	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	204	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	93	100.0%

Other Symbol

Value	Count	Frequency (%)
¦	2	100.0%

Other Number

Value	Count	Frequency (%)
³	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	588417	88.5%
Common	76148	11.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	63688	10.8%
n	54040	9.2%
e	53270	9.1%
a	48795	8.3%
i	42606	7.2%
t	41486	7.1%
d	29847	5.1%
r	28521	4.8%
s	27739	4.7%
l	25529	4.3%
Other values (46)	172896	29.4%

Common

Value	Count	Frequency (%)
	64502	84.7%
0	1639	2.2%
1	1638	2.2%
!	1105	1.5%
2	1077	1.4%
'	980	1.3%
-	815	1.1%
.	709	0.9%
/	519	0.7%
,	431	0.6%
Other values (42)	2733	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	664533	> 99.9%
None	32	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	64502	9.7%
o	63688	9.6%
n	54040	8.1%
e	53270	8.0%
a	48795	7.3%
i	42606	6.4%
t	41486	6.2%
d	29847	4.5%
r	28521	4.3%
s	27739	4.2%
Other values (84)	210039	31.6%

None

Value	Count	Frequency (%)
î	4	12.5%
â	4	12.5%
	4	12.5%
	4	12.5%
	4	12.5%
Ã	2	6.2%
¦	2	6.2%
	2	6.2%
	1	3.1%
³	1	3.1%
Other values (4)	4	12.5%

zip_code
Categorical

Distinct	822
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	602.8 KiB

100xx	583
945xx	531
112xx	502
606xx	493
070xx	455
Other values (817)	36013

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	192885
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	57 ?
Unique (%)	0.1%

Sample

1st row	860xx
2nd row	309xx
3rd row	606xx
4th row	917xx
5th row	852xx

Common Values

Value	Count	Frequency (%)
100xx	583	1.5%
945xx	531	1.4%
112xx	502	1.3%
606xx	493	1.3%
070xx	455	1.2%
900xx	446	1.2%
021xx	383	1.0%
300xx	383	1.0%
926xx	366	0.9%
750xx	356	0.9%
Other values (812)	34079	88.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
100xx	583	1.5%
945xx	531	1.4%
112xx	502	1.3%
606xx	493	1.3%
070xx	455	1.2%
900xx	446	1.2%
021xx	383	1.0%
300xx	383	1.0%
926xx	366	0.9%
750xx	356	0.9%
Other values (812)	34079	88.3%

Most occurring characters

Value	Count	Frequency (%)
x	77154	40.0%
0	19225	10.0%
1	15171	7.9%
2	13183	6.8%
9	12359	6.4%
3	11987	6.2%
7	9950	5.2%
4	8860	4.6%
5	8765	4.5%
8	8425	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	115731	60.0%
Lowercase Letter	77154	40.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	19225	16.6%
1	15171	13.1%
2	13183	11.4%
9	12359	10.7%
3	11987	10.4%
7	9950	8.6%
4	8860	7.7%
5	8765	7.6%
8	8425	7.3%
6	7806	6.7%

Lowercase Letter

Value	Count	Frequency (%)
x	77154	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	115731	60.0%
Latin	77154	40.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	19225	16.6%
1	15171	13.1%
2	13183	11.4%
9	12359	10.7%
3	11987	10.4%
7	9950	8.6%
4	8860	7.7%
5	8765	7.6%
8	8425	7.3%
6	7806	6.7%

Latin

Value	Count	Frequency (%)
x	77154	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	192885	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
x	77154	40.0%
0	19225	10.0%
1	15171	7.9%
2	13183	6.8%
9	12359	6.4%
3	11987	6.2%
7	9950	5.2%
4	8860	4.6%
5	8765	4.5%
8	8425	4.4%

addr_state
Categorical

Distinct	50
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	602.8 KiB

CA	6949
NY	3698
FL	2781
TX	2659
NJ	1790
Other values (45)	20700

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	77154
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AZ
2nd row	GA
3rd row	IL
4th row	CA
5th row	AZ

Common Values

Value	Count	Frequency (%)
CA	6949	18.0%
NY	3698	9.6%
FL	2781	7.2%
TX	2659	6.9%
NJ	1790	4.6%
IL	1478	3.8%
PA	1468	3.8%
VA	1369	3.5%
GA	1359	3.5%
MA	1297	3.4%
Other values (40)	13729	35.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ca	6949	18.0%
ny	3698	9.6%
fl	2781	7.2%
tx	2659	6.9%
nj	1790	4.6%
il	1478	3.8%
pa	1468	3.8%
va	1369	3.5%
ga	1359	3.5%
ma	1297	3.4%
Other values (40)	13729	35.6%

Most occurring characters

Value	Count	Frequency (%)
A	15289	19.8%
C	9861	12.8%
N	7702	10.0%
L	5121	6.6%
M	4587	5.9%
Y	4089	5.3%
T	3790	4.9%
O	3336	4.3%
I	3002	3.9%
F	2781	3.6%
Other values (14)	17596	22.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	77154	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	15289	19.8%
C	9861	12.8%
N	7702	10.0%
L	5121	6.6%
M	4587	5.9%
Y	4089	5.3%
T	3790	4.9%
O	3336	4.3%
I	3002	3.9%
F	2781	3.6%
Other values (14)	17596	22.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	77154	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	15289	19.8%
C	9861	12.8%
N	7702	10.0%
L	5121	6.6%
M	4587	5.9%
Y	4089	5.3%
T	3790	4.9%
O	3336	4.3%
I	3002	3.9%
F	2781	3.6%
Other values (14)	17596	22.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	77154	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	15289	19.8%
C	9861	12.8%
N	7702	10.0%
L	5121	6.6%
M	4587	5.9%
Y	4089	5.3%
T	3790	4.9%
O	3336	4.3%
I	3002	3.9%
F	2781	3.6%
Other values (14)	17596	22.8%

dti
Real number (ℝ)

Distinct	2853
Distinct (%)	7.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.272727

Minimum	0
Maximum	29.99
Zeros	178
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	602.8 KiB

Quantile statistics

Minimum	0
5-th percentile	2.1
Q1	8.13
median	13.37
Q3	18.56
95-th percentile	23.8
Maximum	29.99
Range	29.99
Interquartile range (IQR)	10.43

Descriptive statistics

Standard deviation	6.6730443
Coefficient of variation (CV)	0.50276362
Kurtosis	-0.85629801
Mean	13.272727
Median Absolute Deviation (MAD)	5.21
Skewness	-0.026842422
Sum	512021.99
Variance	44.52952
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	178	0.5%
12	46	0.1%
18	45	0.1%
19.2	39	0.1%
13.2	39	0.1%
12.48	37	0.1%
16.8	37	0.1%
15	36	0.1%
6	36	0.1%
13.5	36	0.1%
Other values (2843)	38048	98.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	178	0.5%
0.01	3	< 0.1%
0.02	5	< 0.1%
0.03	2	< 0.1%
0.04	3	< 0.1%
0.05	2	< 0.1%
0.06	1	< 0.1%
0.07	5	< 0.1%
0.08	5	< 0.1%
0.09	2	< 0.1%

Value	Count	Frequency (%)
29.99	1	< 0.1%
29.93	3	< 0.1%
29.92	2	< 0.1%
29.89	1	< 0.1%
29.88	1	< 0.1%
29.86	2	< 0.1%
29.85	1	< 0.1%
29.82	1	< 0.1%
29.79	1	< 0.1%
29.78	1	< 0.1%

mths_since_last_delinq
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	95
Distinct (%)	0.7%
Missing	24905
Missing (%)	64.6%
Infinite	0
Infinite (%)	0.0%
Mean	35.882534

Minimum	0
Maximum	120
Zeros	443
Zeros (%)	1.1%
Negative	0
Negative (%)	0.0%
Memory size	602.8 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	18
median	34
Q3	52
95-th percentile	75
Maximum	120
Range	120
Interquartile range (IQR)	34

Descriptive statistics

Standard deviation	22.028093
Coefficient of variation (CV)	0.61389458
Kurtosis	-0.84497107
Mean	35.882534
Median Absolute Deviation (MAD)	17
Skewness	0.30310156
Sum	490586
Variance	485.23688
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	443	1.1%
15	244	0.6%
30	243	0.6%
23	243	0.6%
24	236	0.6%
38	233	0.6%
19	232	0.6%
22	228	0.6%
20	226	0.6%
18	225	0.6%
Other values (85)	11119	28.8%
(Missing)	24905	64.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	443	1.1%
1	29	0.1%
2	101	0.3%
3	143	0.4%
4	147	0.4%
5	145	0.4%
6	188	0.5%
7	172	0.4%
8	165	0.4%
9	171	0.4%

Value	Count	Frequency (%)
120	1	< 0.1%
115	1	< 0.1%
107	1	< 0.1%
106	1	< 0.1%
103	1	< 0.1%
97	1	< 0.1%
96	1	< 0.1%
95	1	< 0.1%
89	1	< 0.1%
86	2	< 0.1%

mths_since_last_record
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	111
Distinct (%)	4.1%
Missing	35837
Missing (%)	92.9%
Infinite	0
Infinite (%)	0.0%
Mean	69.260949

Minimum	0
Maximum	129
Zeros	670
Zeros (%)	1.7%
Negative	0
Negative (%)	0.0%
Memory size	602.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	19.75
median	90
Q3	104
95-th percentile	115
Maximum	129
Range	129
Interquartile range (IQR)	84.25

Descriptive statistics

Standard deviation	43.987761
Coefficient of variation (CV)	0.63510191
Kurtosis	-1.1890678
Mean	69.260949
Median Absolute Deviation (MAD)	20
Skewness	-0.69859329
Sum	189775
Variance	1934.9231
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	670	1.7%
104	60	0.2%
113	58	0.2%
89	57	0.1%
111	56	0.1%
94	54	0.1%
108	54	0.1%
87	53	0.1%
100	53	0.1%
110	52	0.1%
Other values (101)	1573	4.1%
(Missing)	35837	92.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	670	1.7%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
11	2	< 0.1%
12	1	< 0.1%
13	2	< 0.1%
14	1	< 0.1%
17	3	< 0.1%
18	2	< 0.1%

Value	Count	Frequency (%)
129	1	< 0.1%
120	1	< 0.1%
119	9	< 0.1%
118	36	0.1%
117	43	0.1%
116	41	0.1%
115	36	0.1%
114	50	0.1%
113	58	0.2%
112	39	0.1%

initial_list_status
Boolean

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	339.1 KiB

False	38577

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	38577	100.0%

next_pymnt_d
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

collections_12_mths_ex_med
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	56
Missing (%)	0.1%
Memory size	602.8 KiB

0.0	38521

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	115563
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	38521	99.9%
(Missing)	56	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	38521	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	77042	66.7%
.	38521	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	77042	66.7%
Other Punctuation	38521	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	77042	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	38521	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	115563	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	77042	66.7%
.	38521	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	115563	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	77042	66.7%
.	38521	33.3%

mths_since_last_major_derog
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

policy_code
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	602.8 KiB

1	38577

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	38577
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	38577	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	38577	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	38577	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	38577	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	38577	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	38577	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	38577	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38577	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	38577	100.0%

annual_inc_joint
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

dti_joint
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

verification_status_joint
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

acc_now_delinq
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	602.8 KiB

0	38577

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	38577
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	38577	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	38577	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	38577	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	38577	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	38577	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	38577	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	38577	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38577	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	38577	100.0%

tot_coll_amt
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

tot_cur_bal
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

open_acc_6m
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

open_il_6m
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

open_il_12m
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

open_il_24m
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

mths_since_rcnt_il
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

total_bal_il
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

il_util
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

open_rv_12m
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

open_rv_24m
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

max_bal_bc
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

all_util
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

total_rev_hi_lim
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

inq_fi
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

total_cu_tl
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

inq_last_12m
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

acc_open_past_24mths
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

avg_cur_bal
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

bc_open_to_buy
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

bc_util
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

chargeoff_within_12_mths
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	56
Missing (%)	0.1%
Memory size	602.8 KiB

0.0	38521

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	115563
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	38521	99.9%
(Missing)	56	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	38521	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	77042	66.7%
.	38521	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	77042	66.7%
Other Punctuation	38521	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	77042	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	38521	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	115563	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	77042	66.7%
.	38521	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	115563	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	77042	66.7%
.	38521	33.3%

delinq_amnt
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	602.8 KiB

0	38577

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	38577
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	38577	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	38577	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	38577	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	38577	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	38577	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	38577	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	38577	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38577	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	38577	100.0%

mo_sin_old_il_acct
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

mo_sin_old_rev_tl_op
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

mo_sin_rcnt_rev_tl_op
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

mo_sin_rcnt_tl
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

mort_acc
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

mths_since_recent_bc
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

mths_since_recent_bc_dlq
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

mths_since_recent_inq
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

mths_since_recent_revol_delinq
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

num_accts_ever_120_pd
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

num_actv_bc_tl
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

num_actv_rev_tl
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

num_bc_sats
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

num_bc_tl
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

num_il_tl
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

num_op_rev_tl
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

num_rev_accts
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

num_rev_tl_bal_gt_0
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

num_sats
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

num_tl_120dpd_2m
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

num_tl_30dpd
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

num_tl_90g_dpd_24m
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

num_tl_op_past_12m
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

pct_tl_nvr_dlq
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

percent_bc_gt_75
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

pub_rec_bankruptcies
Categorical

HIGH CORRELATION IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	697
Missing (%)	1.8%
Memory size	602.8 KiB

0.0	36238
1.0	1637
2.0	5

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	113640
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	36238	93.9%
1.0	1637	4.2%
2.0	5	< 0.1%
(Missing)	697	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	36238	95.7%
1.0	1637	4.3%
2.0	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	74118	65.2%
.	37880	33.3%
1	1637	1.4%
2	5	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	75760	66.7%
Other Punctuation	37880	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	74118	97.8%
1	1637	2.2%
2	5	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	37880	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	113640	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	74118	65.2%
.	37880	33.3%
1	1637	1.4%
2	5	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	113640	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	74118	65.2%
.	37880	33.3%
1	1637	1.4%
2	5	< 0.1%

tax_liens
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	39
Missing (%)	0.1%
Memory size	602.8 KiB

0.0	38538

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	115614
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	38538	99.9%
(Missing)	39	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	38538	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	77076	66.7%
.	38538	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	77076	66.7%
Other Punctuation	38538	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	77076	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	38538	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	115614	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	77076	66.7%
.	38538	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	115614	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	77076	66.7%
.	38538	33.3%

tot_hi_cred_lim
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

total_bal_ex_mort
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

total_bc_limit
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

total_il_high_credit_limit
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	38577
Missing (%)	100.0%
Memory size	602.8 KiB

Auto

Heatmap
Table

	id	member_id	loan_amnt	funded_amnt	funded_amnt_inv	installment	annual_inc	dti	mths_since_last_delinq	mths_since_last_record	term	grade	sub_grade	emp_length	home_ownership	verification_status	issue_d	loan_status	purpose	addr_state	pub_rec_bankruptcies
id	1.000	0.999	0.090	0.100	0.216	0.062	0.038	0.084	0.097	0.598	0.292	0.052	0.071	0.055	0.082	0.234	0.915	0.051	0.073	0.091	0.072
member_id	0.999	1.000	0.089	0.099	0.215	0.062	0.037	0.084	0.097	0.599	0.306	0.054	0.072	0.055	0.081	0.252	0.924	0.051	0.074	0.099	0.045
loan_amnt	0.090	0.089	1.000	0.991	0.932	0.959	0.427	0.070	0.023	0.018	0.349	0.136	0.124	0.051	0.086	0.307	0.080	0.066	0.116	0.020	0.025
funded_amnt	0.100	0.099	0.991	1.000	0.943	0.973	0.423	0.070	0.024	0.014	0.328	0.135	0.121	0.051	0.083	0.301	0.081	0.063	0.115	0.016	0.025
funded_amnt_inv	0.216	0.215	0.932	0.943	1.000	0.909	0.400	0.079	0.098	0.459	0.349	0.129	0.115	0.056	0.082	0.308	0.148	0.054	0.108	0.025	0.027
installment	0.062	0.062	0.959	0.973	0.909	1.000	0.419	0.064	0.010	-0.021	0.134	0.135	0.122	0.043	0.068	0.267	0.076	0.039	0.113	0.015	0.021
annual_inc	0.038	0.037	0.427	0.423	0.400	0.419	1.000	-0.102	-0.004	0.035	0.000	0.000	0.000	0.005	0.000	0.002	0.019	0.000	0.000	0.016	0.000
dti	0.084	0.084	0.070	0.070	0.079	0.064	-0.102	1.000	0.066	0.171	0.077	0.063	0.057	0.017	0.025	0.070	0.043	0.047	0.082	0.033	0.016
mths_since_last_delinq	0.097	0.097	0.023	0.024	0.098	0.010	-0.004	0.066	1.000	0.518	0.039	0.039	0.035	0.032	0.025	0.056	0.105	0.029	0.005	0.041	0.021
mths_since_last_record	0.598	0.599	0.018	0.014	0.459	-0.021	0.035	0.171	0.518	1.000	0.291	0.082	0.093	0.094	0.066	0.336	0.324	0.051	0.061	0.100	0.658
term	0.292	0.306	0.349	0.328	0.349	0.134	0.000	0.077	0.039	0.291	1.000	0.441	0.475	0.106	0.104	0.248	0.343	0.173	0.112	0.047	0.015
grade	0.052	0.054	0.136	0.135	0.129	0.135	0.000	0.063	0.039	0.082	0.441	1.000	1.000	0.017	0.051	0.137	0.070	0.202	0.069	0.015	0.067
sub_grade	0.071	0.072	0.124	0.121	0.115	0.122	0.000	0.057	0.035	0.093	0.475	1.000	1.000	0.018	0.057	0.145	0.043	0.207	0.053	0.007	0.072
emp_length	0.055	0.055	0.051	0.051	0.056	0.043	0.005	0.017	0.032	0.094	0.106	0.017	0.018	1.000	0.132	0.081	0.059	0.018	0.036	0.022	0.044
home_ownership	0.082	0.081	0.086	0.083	0.082	0.068	0.000	0.025	0.025	0.066	0.104	0.051	0.057	0.132	1.000	0.074	0.133	0.022	0.125	0.134	0.021
verification_status	0.234	0.252	0.307	0.301	0.308	0.267	0.002	0.070	0.056	0.336	0.248	0.137	0.145	0.081	0.074	1.000	0.288	0.048	0.095	0.039	0.007
issue_d	0.915	0.924	0.080	0.081	0.148	0.076	0.019	0.043	0.105	0.324	0.343	0.070	0.043	0.059	0.133	0.288	1.000	0.064	0.073	0.060	0.083
loan_status	0.051	0.051	0.066	0.063	0.054	0.039	0.000	0.047	0.029	0.051	0.173	0.202	0.207	0.018	0.022	0.048	0.064	1.000	0.097	0.053	0.047
purpose	0.073	0.074	0.116	0.115	0.108	0.113	0.000	0.082	0.005	0.061	0.112	0.069	0.053	0.036	0.125	0.095	0.073	0.097	1.000	0.032	0.023
addr_state	0.091	0.099	0.020	0.016	0.025	0.015	0.016	0.033	0.041	0.100	0.047	0.015	0.007	0.022	0.134	0.039	0.060	0.053	0.032	1.000	0.047
pub_rec_bankruptcies	0.072	0.045	0.025	0.025	0.027	0.021	0.000	0.016	0.021	0.658	0.015	0.067	0.072	0.044	0.021	0.007	0.083	0.047	0.023	0.047	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	id	member_id	loan_amnt	funded_amnt	funded_amnt_inv	term	int_rate	installment	grade	sub_grade	emp_title	emp_length	home_ownership	annual_inc	verification_status	issue_d	loan_status	pymnt_plan	url	desc	purpose	title	zip_code	addr_state	dti	mths_since_last_delinq	mths_since_last_record	initial_list_status	next_pymnt_d	mths_since_last_major_derog	policy_code	annual_inc_joint	dti_joint	verification_status_joint	tot_coll_amt	tot_cur_bal	open_acc_6m	open_il_6m	open_il_12m	open_il_24m	mths_since_rcnt_il	total_bal_il	il_util	open_rv_12m	open_rv_24m	max_bal_bc	all_util	total_rev_hi_lim	inq_fi	total_cu_tl	inq_last_12m	acc_open_past_24mths	avg_cur_bal	bc_open_to_buy	bc_util	mo_sin_old_il_acct	mo_sin_old_rev_tl_op	mo_sin_rcnt_rev_tl_op	mo_sin_rcnt_tl	mort_acc	mths_since_recent_bc	mths_since_recent_bc_dlq	mths_since_recent_inq	mths_since_recent_revol_delinq	num_accts_ever_120_pd	num_actv_bc_tl	num_actv_rev_tl	num_bc_sats	num_bc_tl	num_il_tl	num_op_rev_tl	num_rev_accts	num_rev_tl_bal_gt_0	num_sats	num_tl_120dpd_2m	num_tl_30dpd	num_tl_90g_dpd_24m	num_tl_op_past_12m	pct_tl_nvr_dlq	percent_bc_gt_75	tot_hi_cred_lim	total_bal_ex_mort	total_bc_limit	total_il_high_credit_limit
0	1077501	1296599	5000	5000	4975.0	36 months	10.65%	162.87	B	B2	NaN	10+ years	RENT	24000.0	Verified	Dec-11	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1077501	Borrower added on 12/22/11 > I need to upgrade my business technologies.<br>	credit_card	Computer	860xx	AZ	27.65	NaN	NaN	f	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	1077430	1314167	2500	2500	2500.0	60 months	15.27%	59.83	C	C4	Ryder	< 1 year	RENT	30000.0	Source Verified	Dec-11	Charged Off	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1077430	Borrower added on 12/22/11 > I plan to use this money to finance the motorcycle i am looking at. I plan to have it paid off as soon as possible/when i sell my old bike. I only need this money because the deal im looking at is to good to pass up.<br><br> Borrower added on 12/22/11 > I plan to use this money to finance the motorcycle i am looking at. I plan to have it paid off as soon as possible/when i sell my old bike.I only need this money because the deal im looking at is to good to pass up. I have finished college with an associates degree in business and its takingmeplaces<br>	car	bike	309xx	GA	1.00	NaN	NaN	f	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	1077175	1313524	2400	2400	2400.0	36 months	15.96%	84.33	C	C5	NaN	10+ years	RENT	12252.0	Not Verified	Dec-11	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1077175	NaN	small_business	real estate business	606xx	IL	8.72	NaN	NaN	f	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	1076863	1277178	10000	10000	10000.0	36 months	13.49%	339.31	C	C1	AIR RESOURCES BOARD	10+ years	RENT	49200.0	Source Verified	Dec-11	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1076863	Borrower added on 12/21/11 > to pay for property tax (borrow from friend, need to pay back) & central A/C need to be replace. I'm very sorry to let my loan expired last time.<br>	other	personel	917xx	CA	20.00	35.0	NaN	f	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	1075269	1311441	5000	5000	5000.0	36 months	7.90%	156.46	A	A4	Veolia Transportaton	3 years	RENT	36000.0	Source Verified	Dec-11	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1075269	NaN	wedding	My wedding loan I promise to pay back	852xx	AZ	11.20	NaN	NaN	f	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	1069639	1304742	7000	7000	7000.0	60 months	15.96%	170.08	C	C5	Southern Star Photography	8 years	RENT	47004.0	Not Verified	Dec-11	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1069639	Borrower added on 12/18/11 > I am planning on using the funds to pay off two retail credit cards with 24.99% interest rates, as well as a major bank credit card with a 18.99% rate. I pay all my bills on time, looking for a lower combined payment and lower monthly payment.<br>	debt_consolidation	Loan	280xx	NC	23.51	NaN	NaN	f	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	1072053	1288686	3000	3000	3000.0	36 months	18.64%	109.43	E	E1	MKC Accounting	9 years	RENT	48000.0	Source Verified	Dec-11	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1072053	Borrower added on 12/16/11 > Downpayment for a car.<br>	car	Car Downpayment	900xx	CA	5.35	NaN	NaN	f	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	1071795	1306957	5600	5600	5600.0	60 months	21.28%	152.39	F	F2	NaN	4 years	OWN	40000.0	Source Verified	Dec-11	Charged Off	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1071795	Borrower added on 12/21/11 > I own a small home-based judgment collection business. I have 5 years experience collecting debts. I am now going from a home office to a small office. I also plan to buy a small debt portfolio (eg. $10K for $1M of debt) <br>My score is not A+ because I own my home and have no mortgage.<br>	small_business	Expand Business & Buy Debt Portfolio	958xx	CA	5.55	NaN	NaN	f	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	1071570	1306721	5375	5375	5350.0	60 months	12.69%	121.45	B	B5	Starbucks	< 1 year	RENT	15000.0	Verified	Dec-11	Charged Off	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1071570	Borrower added on 12/16/11 > I'm trying to build up my credit history. I live with my brother and have no car payment or credit cards. I am in community college and work full time. Im going to use the money to make some repairs around the house and get some maintenance done on my car.<br><br> Borrower added on 12/20/11 > $1000 down only $4375 to go. Thanks to everyone that invested so far, looking forward to surprising my brother with the fixes around the house.<br>	other	Building my credit history.	774xx	TX	18.08	NaN	NaN	f	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
10	1070078	1305201	6500	6500	6500.0	60 months	14.65%	153.45	C	C3	Southwest Rural metro	5 years	OWN	72000.0	Not Verified	Dec-11	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1070078	Borrower added on 12/15/11 > I had recived a loan from Citi Financial about a year ago, I was paying 29.99 intrest, so the refinance is to cut that rate since cleaning up my credit I have been paying everything on time as shown on my credit report<br>	debt_consolidation	High intrest Consolidation	853xx	AZ	16.12	NaN	NaN	f	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

	id	member_id	loan_amnt	funded_amnt	funded_amnt_inv	term	int_rate	installment	grade	sub_grade	emp_title	emp_length	home_ownership	annual_inc	verification_status	issue_d	loan_status	pymnt_plan	url	desc	purpose	title	zip_code	addr_state	dti	mths_since_last_delinq	mths_since_last_record	initial_list_status	next_pymnt_d	collections_12_mths_ex_med	mths_since_last_major_derog	policy_code	annual_inc_joint	dti_joint	verification_status_joint	tot_coll_amt	tot_cur_bal	open_acc_6m	open_il_6m	open_il_12m	open_il_24m	mths_since_rcnt_il	total_bal_il	il_util	open_rv_12m	open_rv_24m	max_bal_bc	all_util	total_rev_hi_lim	inq_fi	total_cu_tl	inq_last_12m	acc_open_past_24mths	avg_cur_bal	bc_open_to_buy	bc_util	chargeoff_within_12_mths	mo_sin_old_il_acct	mo_sin_old_rev_tl_op	mo_sin_rcnt_rev_tl_op	mo_sin_rcnt_tl	mort_acc	mths_since_recent_bc	mths_since_recent_bc_dlq	mths_since_recent_inq	mths_since_recent_revol_delinq	num_accts_ever_120_pd	num_actv_bc_tl	num_actv_rev_tl	num_bc_sats	num_bc_tl	num_il_tl	num_op_rev_tl	num_rev_accts	num_rev_tl_bal_gt_0	num_sats	num_tl_120dpd_2m	num_tl_30dpd	num_tl_90g_dpd_24m	num_tl_op_past_12m	pct_tl_nvr_dlq	percent_bc_gt_75	pub_rec_bankruptcies	tax_liens	tot_hi_cred_lim	total_bal_ex_mort	total_bc_limit	total_il_high_credit_limit
39707	92666	92661	5000	5000	525.0	36 months	9.33%	159.77	B	B3	Stark and Roth Inc	2 years	MORTGAGE	180000.0	Not Verified	Jul-07	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=92666	Need a loan to make some home improvments	home_improvement	home improvment loan	530xx	WI	11.93	0.0	0.0	f	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
39708	92552	92542	5000	5000	375.0	36 months	9.96%	161.25	B	B5	Millenium Group	4 years	MORTGAGE	48000.0	Not Verified	Jul-07	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=92552	I would like to pay off my high-interest credit card debts and have a single payment to make every month	debt_consolidation	Tito5000	333xx	FL	8.03	0.0	0.0	f	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
39709	92533	92529	5000	5000	675.0	36 months	11.22%	164.23	C	C4	Self-Employeed	< 1 year	OWN	80000.0	Not Verified	Jul-07	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=92533	NaN	credit_card	P's Family Credit Loan	537xx	WI	1.21	0.0	44.0	f	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
39710	92507	92502	5000	5000	250.0	36 months	7.43%	155.38	A	A2	Rush Univ Med Grp	1 year	OWN	85000.0	Not Verified	Jul-07	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=92507	NaN	credit_card	My Credit Card Loan	537xx	WI	0.31	0.0	0.0	f	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
39711	92402	92390	5000	5000	700.0	36 months	8.70%	158.30	B	B1	A. F. Wolfers, Inc.	5 years	MORTGAGE	75000.0	Not Verified	Jul-07	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=92402	I'd like to shift some credit card debt so it has a lower interest rate.	credit_card	Reduce Credit Card Debt	804xx	CO	15.55	0.0	0.0	f	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
39712	92187	92174	2500	2500	1075.0	36 months	8.07%	78.42	A	A4	FiSite Research	4 years	MORTGAGE	110000.0	Not Verified	Jul-07	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=92187	Our current gutter system on our home is old and in need of repair. We will be using the borrowed funds to replace the gutter system on our home.	home_improvement	Home Improvement	802xx	CO	11.33	0.0	0.0	f	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
39713	90665	90607	8500	8500	875.0	36 months	10.28%	275.38	C	C1	Squarewave Solutions, Ltd.	3 years	RENT	18000.0	Not Verified	Jul-07	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=90665	The rate of interest and fees incurred by carrying a balance on my credit card are so outrageous at this point that continuing to pay them is patently bad financial thinking. I wish to redirect my efforts at retiring my debt via another more-reasonable means. I have sufficient funds to direct to this end on a monthly basis, and have simply gotten tired of their being gobbled up by interest and fees.	credit_card	Retiring credit card debt	274xx	NC	6.40	5.0	0.0	f	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
39714	90395	90390	5000	5000	1325.0	36 months	8.07%	156.84	A	A4	NaN	< 1 year	MORTGAGE	100000.0	Not Verified	Jul-07	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=90395	NaN	debt_consolidation	MBA Loan Consolidation	017xx	MA	2.30	0.0	0.0	f	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
39715	90376	89243	5000	5000	650.0	36 months	7.43%	155.38	A	A2	NaN	< 1 year	MORTGAGE	200000.0	Not Verified	Jul-07	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=90376	NaN	other	JAL Loan	208xx	MD	3.72	0.0	0.0	f	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
39716	87023	86999	7500	7500	800.0	36 months	13.75%	255.43	E	E2	Evergreen Center	< 1 year	OWN	22000.0	Not Verified	Jun-07	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=87023	I plan to consolidate over $7,000 of debt: a combination of credit cards and student loans.	debt_consolidation	Consolidation Loan	027xx	MA	14.29	11.0	0.0	f	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

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Most occurring scripts

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Most occurring blocks

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